Satbir Singh

National Institute of Technology Jalandhar | NITJ · Centre for Artificial Intelligence

This research focuses on developing a reliable computer vision system for accurately tracking traffic density in India during the rainy season. The system uses deep learning-based techniques to handle the difficulties associated with vehicle detection and tracking. The three modules are vehicle detection, tracking, and vehicle counting. Vehicles ar...

Objectives Diabetic foot ulcers (DFU) can be avoided if symptoms of diabetic foot complications are detected early and treated promptly. Early detection requires regular examination, which might be limited for many reasons. To identify affected or potentially affected regions in the diabetic plantar foot, the region-wise severity of the plantar foo...

Vehicle detection in degraded hazy conditions poses significant challenges in computer vision. It is difficult to detect objects accurately under hazy conditions because vision is reduced, and color and texture information is distorted. This research paper presents a comparative analysis of different YOLO (You Only Look Once) methodologies, includi...

Diabetes, a metabolic disease, has been designated as a "public health 1 priority" in the majority of countries due to its increasing global prevalence. Diabetic 2 foot ulcer is one of the most serious complications of the disease, and if not treated 3 promptly, it can lead to lower extremity amputation. Advancement in thermography 4 imaging techno...

The proposed research aims to enhance the capabilities of information fusion-based object tracking using thermal and visible imaging. An essential motivation behind this technique is to carve out a framework that may utilize many attributes from several sensors. The built-in particle filter is adapted with the granular computing concept for weighin...

Foggy weather prominently causes degradation in visibility due to the scattering of the atmospheric particles. Consequently, there arises a problem in identification of the precise object features by the human eye as well as the machine based computer vision systems. To encounter such situations, various adept mechanisms are required. The proposed...

A musical piece constitutes of vocals and background music which is repetitive in nature. Their separation is an essential job in many applications, like music information retrieval (MIR), gender recognition and lyrical recognition. In this paper, we propose a classifier which cleaves the music/song on the basis of gender of the singer without havi...

This chapter emphasizes on the approach to include information from different type of sensors into the visible domain real time tracking. Since any individual sensor is not able to retrieve the complete information, so it is better to use information from distinct category of sensors. The chapter firstly enlightens the significance of introducing t...

This paper present an idea which focuses on cost reduction and provide the quality of service in the field of technology-aided teaching or smart teaching ,for this propose we are using raspberry pi as main processing unit and USB camera used as input unit ,this system used for power point and portable document file , To control power point and pdf...

The proposed work presents a prototype of novel method that comprises of a complete embedded system for the process of restoring the foggy images. Foggy conditions are considered to be a major source of accidents for vehicles. Use of a novel ‘Mean Channel Prior (MCP)’ algorithm for defogging gave more accurate results as compared with the earlier e...

The current paper proposes recognition of partially invisible objects in images using image enhancement techniques. The problem mainly arises in night vision images which comprise poor contrast standards. Also during daytime, the object which is captured under sunlight is the lone survivor and the rest of information is not captured by camera prope...

proposed research paper shall analyze a method of image change detection based upon the Fractional Fourier transform (FrFT), which can provide results with good precision and better recall values obtained by optimizing its fractional order 'a'. The method is analyzed because, with extra degree of freedom provided by the Discrete Fractional Fourier...